Orchid Project

Azure ML is the new cloud-based service that implements a number of state of the art machine learning algorithms available for commercial and research software development. Azure ML is the container of a variety of professionally developed powerful machine learning modules (including Recommender system, Bayes Point Machine Classifier, and Decision Forests/Jungles modules, and many more hopefully soon). This service […]

A year after the publication of PROV recommendations by the W3C provenance working group, it is nice to see the deployment of applications making use of PROV. In this blog, I talk about the 2014 National Climate Assessment report. A quick reminder of what I mean by provenance: Provenance is a record that describes the people, institutions, entities, […]

We are developing a platform for gathering evidence during natural disasters. The platform poses questions such as “Has the Brooklyn Bridge been damaged by Hurricane Sandy?” The users are asked to submit evidence to answer the question as well as to evaluate previously submitted evidence. This weekend we are running a challenge to test feasibility of […]

And so, after many months of intensive thinking, blogging and workshopping, our Leverhulme Trust-sponsored artists’ residency at the University of Southampton comes to an end. Many thanks to Nick Jennings and the ORCHID research team as well as Paul Virilio scholars John Armitage and Ryan Bishop for helping us to focus our thinking around how […]

27 September 2014 @ 10.00 – 16.00, Imperial College London, Silwood Park Campus, Buckhurst Road, Ascot , SL5 7PY This event will bring together the local community around Silwood Park, including school children and families, local entrepreneurs and naturalists, for a fun family day out packed with activities. Visitors will learn about how they can […]

This is of interest to people working on probabilistic programming, Infer.NET, machine learning and crowdsourcing. Upon request of Zooniverse, Microsoft has now released the software of the Bayesian crowdsourcing models developed during my MSR internships as an open source project (for academic use only). This project includes the implementation in C# / Infer.NET of many state-of-the-art crowdsourcing […]

Victoria Halford and myself returned to Building 32 and shared our future disaster scenarios with Gopal Ramchum, Trung Dong Huynh, Nadia Pantidi and Victor Naroditskiy. We’d worked up the scenarios into four narrative treatments since our last workshop – a Dubai tourist resort terror attack, the Great Fire of Lagos, a Gaza border tunnel cave-in […]

Mike Osborne’s work on the computerisation of jobs quoted in the Guardian   http://www.theguardian.com/technology/2014/jun/15/robot-doctors-online-lawyers-automated-architects-future-professions-jobs-technology

How is it possible to prepare for unexpected catastrophes? One of the approaches taken by the proponents of the ‘risk society’ is to make use of the computer modelling techniques of network theory. By breaking down any system – economics, society, the environment – into a collection of points connected by lines, it’s possible to […]

This year’s VAST Challenge presents three inter-related mini-challenge and an overall Grand Challenge in relation to information processing and visual analytics. The challenges relate to a story involving missing persons from a company operating a natural gas production site in the island country of Kronos. Solutions are required to help law enforcement on Kronos assess […]